ISyE Professor Jianjun Shi, will be giving a keynote speech at the Institute of Industrial and Systems Engineers (IISE) Annual Meeting this May 2025.

As the Carolyn J. Stewart Chair, with a joint appointment in the School of Mechanical Engineering, Shi’s research and methodologies focus on integrating system informatics, advanced statistics, and control theory for design and operational improvements in manufacturing and servicing systems. 

His keynote, titled “Data Modality, Data Science, and Multistage Manufacturing”, will discuss how new technologies like sensors and data science change the way we study and improve manufacturing processes. He’ll discuss how these advances help us model and analyze the variations in different stages of manufacturing, making overall production better.

The keynote will delve into the following key areas:

• Sensor Technology: Collecting vast amounts of data from different stages of the manufacturing
• Data Science: Analyzing and interpreting to identify patterns, predict outcomes, and optimize processes
• Variation Modeling: Techniques for modeling variations in manufacturing processes
• AI and Machine Learning: Application of AI and machine learning algorithms to solve practical problems in manufacturing
• Real-World Examples: Case studies from past and ongoing research projects demonstrating the practical implementation of these technologies in real-life manufacturing systems.

Shi will also highlight the challenges and opportunities in adopting these advanced technologies in the industry, addressing issues such as data integration, real-time monitoring, and predictive maintenance.

Alongside his work, Dr. Shi has received various accolades including: the NSF CAREER Award, and is the founding chair of the Quality, Statistics and Reliability (QSR) Subdivision at the Institute for Operations Research and Management Science (INFORMS). 

He is also a Fellow of the Institute of Industrial and Systems Engineering (IISE), American Society of Mechanical Engineering (ASME), Institute of Operations Research and the Management Science (INFORMS), an Academician of the International Academy for Quality, and a member of National Academy of Engineering (NAE).